Multi-Model Stacking Ensemble with Multi-Perspective Interpretability Analysis for Solar Power Forecasting
Accurate photovoltaic (PV) power forecasting is important for grid dispatch, energy-storage management, and electricity-market trading. This paper presents a PV power forecasting framework that combines multi-model ensemble learning with multi-perspective interpretability analysis. A 22-dimensional feature set was cons...